Everything we have published

Every AI vendor is building a knowledge layer. In healthcare it must carry permissions, local vocabulary, and evidence. Five questions to test any vendor.

Healthcare boards have watched big data builds deliver little. Seven AI questions boards are asking now, and what management should bring to each.

Trust in AI builds in installments, and each one makes a bigger ask possible. How health plans and health systems earn it.

AI has changed how healthcare leaders spend their time and make decisions, but the leader still owns the outcome.

A win nobody defined in advance is an anecdote. How healthcare organizations turn AI pilots into programs.

Every AI initiative has a builder, but few have an owner for its value. How healthcare leaders approach AI ownership.

Healthcare AI adoption follows trust. Notes from our Health Evolution Connect panel on earning it at every level, from the C-suite to the front desk.

Healthcare organizations getting real value from AI agreed on what “working” means first. Lessons for leaders from In the Round 2026.

Healthcare leaders meet at In the Round, Oct. 12–13 in Franklin, Tennessee, to take on what AI is worth from every seat.

Scaling AI initiatives in healthcare only gets faster when you write down what the first one taught you.

Stop funding AI like an experiment, running it like software, and judging it once, if at all.

Most healthcare AI initiatives fail because nobody asks the right questions upfront. Three questions that decide value in ten minutes.

Healthcare AI value can't be measured with software's metrics. Usage numbers aren't returns, and tasks completed doesn't fit a claims workflow.

Boards have stopped asking how fast. The real question is what enterprise AI is returning, and why speed alone can't answer it.

Kimi K3 makes frontier-level AI cheap and ownable. When intelligence is a commodity, the edge is proving what you do with it.

A model that worked sat unused because no one treated the nurses’ trust as the project. Change management, not the tech stack, decides whether AI pays off.

Scaling healthcare AI takes more than better models. Organizational context is what makes AI compound faster and more precise with every initiative you run.

Is your enterprise AI ready in a day but stuck in a queue for a month? Why software delivery is now an architectural problem, not a coding one.

The former CEOs of Humana and CVS Health join Optura as strategic advisors.

Optura's engineers tested Claude Fable 5 across three demanding workloads to show exactly when its premium cost is worth paying, and when it isn't.

What surfaced when women in healthcare AI leadership gathered in Nashville for an honest cross-sector conversation about AI, access, and what it takes to move up.

Token budgets don't explode because of AI. They explode because the system around AI hasn't changed.

Optura raised a $17.5M Series A led by Salesforce Ventures, with Echo Health Ventures joining Susa Ventures, Matrix and HC9.

The Optura film: how the enterprise healthcare platform that delivers ROAI™ helps health plans and health systems fund, govern, and prove AI.

What building AI together does to the conversation healthcare has been avoiding, and what $200 billion in discovered value looks like in practice.

Healthcare's top executives have stopped funding AI stories. Optura CEO Andy Fanning on three themes defining healthcare AI ROI in 2026.

Jon Hilton and Katy Feldner lead a new division built to help organizations scale what works.

Build an AI COE that actually delivers.

ViVE 2026 in LA: leaders weren't asking what AI can do. They were asking why it isn't working yet. That's a better question.

Different verses, same song.

Where healthcare leaders drop the script.

Anthropic’s move into healthcare raises the bar for good: AI will be judged on measurable outcomes and ROAI, not potential, and execution platforms will win.

Harmonizing perspectives around healthcare AI.

The C-suite on the mindset, strategy and orchestration it takes to bring ROI to AI.

Building real-world momentum.

From In the Round 2025: why AI might be the first thing that actually fixes healthcare, from the leaders working on it.

Optura on the real potential of AI in healthcare, and what it takes to turn pilots into measurable results.

From In the Round 2025: how healthcare leaders move past AI paralysis and get initiatives into production.

From In the Round 2025: what keeps healthcare leaders from seeing real value from AI, and how to change it.

From In the Round 2025: how to combat AI resistance inside a healthcare organization, from leaders who have done it.

From In the Round 2025: how to get leadership's buy-in on AI and automation, and keep it.

From In the Round 2025: how to see AI's value in your P&L, not just in a dashboard.

From In the Round 2025: what if healthcare has been solving the wrong problem with AI? A C-suite conversation.

Andy on the engine that takes an idea from a whiteboard to a measured result.

BCG thinks the AI value gap is widening. Optura's CEO Andy Fanning weighs in on what this means for healthcare.

From In the Round 2025: a leader's story of AI telling him to go to the ER, and what it says about trust in healthcare AI.

From In the Round 2025: can AI finally fix a broken healthcare system? The C-suite weighs in.

From In the Round 2025: what happens when AI meets inequality in healthcare, and who it has to work for.

From In the Round 2025: how small, measured wins build big AI change across a healthcare organization.

From In the Round 2025: AI can change care if clinicians and leaders trust it. What earns that trust.

HC9 Ventures’ tenth Fund I investment, and its first in the ROAI category.

A year ago, Optura was a conversation about something big coming to healthcare. It is here, and the gap between building AI and benefiting from it is where the work is.

Healthcare builders, operators, and technologists who have sat in the rooms where decisions get made, pilots stall, and ROI falls short.

$6.5 million in seed funding from Susa Ventures and Matrix Partners, to end AI paralysis in healthcare.